Utilizing integrated bioinformatics and machine learning approaches to elucidate biomarkers linking sepsis to fatty acid metabolism-associated genes
Abstract Sepsis, characterized as a systemic inflammatory response triggered by the invasion of pathogens, represents a continuum that may escalate from mild systemic infection to severe Discontinued sepsis, potentially resulting in septic shock and multiple organ dysfunction syndrome.Advancements in lipidomics and metabolomics have unveiled the co